Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...

Recent advances in deep learning have transformed the classification of urban imagery drawn from aerial, satellite and street-level sensors. Convolutional neural networks and vision transformers now ...